
I don't really understand what $Im(X)$ is. Also, I don't get the first line involving summation. Why did it change to two summation signs? Could someone please explain what all the symbols beneath summation signs mean?
Thanks, And Merry Christmas!

I don't really understand what $Im(X)$ is. Also, I don't get the first line involving summation. Why did it change to two summation signs? Could someone please explain what all the symbols beneath summation signs mean?
Thanks, And Merry Christmas!
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$\operatorname{Im} X$ is the image of $X$, that is the set of values that the random variable $X$ can attain.
$f$ is a function that takes every value in $\operatorname{Im} X$ to a value $y=f(x)$. In the first line of the proof you posted, the elements of $\operatorname{Im} X$ are grouped according to the value $y$ they're taken to by the function $f$. In the first sum, you sum over the set $A$ of possible values $y$ that the function $f$ can assume, in the second sum you sum over those $x$ that realise a particular value $y$.